Does Resting Electroencephalograph Asymmetry Reflect a Trait? An Application of Latent State-Trait Theory
Recent research on brain asymmetry and emotion treated measures of resting electroencephalograph (EEG) asymmetry as genuine trait variables, but inconsistency in reported findings and modest retest correlations of baseline asymmetry are not consistent with this practice. The present study examined t...
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Veröffentlicht in: | Journal of personality and social psychology 2002-04, Vol.82 (4), p.619-641 |
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description | Recent research on brain asymmetry and emotion treated measures of resting electroencephalograph (EEG) asymmetry as genuine trait variables, but inconsistency in reported findings and modest retest correlations of baseline asymmetry are not consistent with this practice. The present study examined the alternative hypothesis that resting EEG asymmetry represents a superimposition of a traitlike activation asymmetry with substantial state-dependent fluctuations. Resting EEG was collected from 59 participants on 4 occasions of measurement, and data were analyzed in terms of latent state-trait theory. For most scalp regions, about 60% of the variance of the asymmetry measure was due to individual differences on a temporally stable latent trait, and 40% of the variance was due to occasion-specific fluctuations, but measurement errors were negligible. Further analyses indicated that these fluctuations might be efficiently reduced by aggregation across several occasions. |
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Resting EEG was collected from 59 participants on 4 occasions of measurement, and data were analyzed in terms of latent state-trait theory. For most scalp regions, about 60% of the variance of the asymmetry measure was due to individual differences on a temporally stable latent trait, and 40% of the variance was due to occasion-specific fluctuations, but measurement errors were negligible. Further analyses indicated that these fluctuations might be efficiently reduced by aggregation across several occasions.</description><identifier>ISSN: 0022-3514</identifier><identifier>EISSN: 1939-1315</identifier><identifier>DOI: 10.1037/0022-3514.82.4.619</identifier><identifier>PMID: 11999928</identifier><identifier>CODEN: JPSPB2</identifier><language>eng</language><publisher>Washington, DC: American Psychological Association</publisher><subject>Activity analysis ; Adolescent ; Adult ; Alpha Rhythm - statistics & numerical data ; Analysis of Variance ; Asymmetry ; Biological and medical sciences ; Brain ; Brain - physiology ; Cerebral Cortex - physiology ; Child ; Electroencephalography ; Electroencephalography - statistics & numerical data ; Emotions ; Emotions - physiology ; Female ; Functional Laterality - physiology ; Fundamental and applied biological sciences. Psychology ; Human ; Humans ; Individuality ; Male ; Models, Neurological ; Neurology ; Personality ; Personality - classification ; Personality - physiology ; Personality Traits ; Personality. Affectivity ; Psychology ; Psychology. Psychoanalysis. Psychiatry ; Psychology. 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An Application of Latent State-Trait Theory</title><title>Journal of personality and social psychology</title><addtitle>J Pers Soc Psychol</addtitle><description>Recent research on brain asymmetry and emotion treated measures of resting electroencephalograph (EEG) asymmetry as genuine trait variables, but inconsistency in reported findings and modest retest correlations of baseline asymmetry are not consistent with this practice. The present study examined the alternative hypothesis that resting EEG asymmetry represents a superimposition of a traitlike activation asymmetry with substantial state-dependent fluctuations. Resting EEG was collected from 59 participants on 4 occasions of measurement, and data were analyzed in terms of latent state-trait theory. For most scalp regions, about 60% of the variance of the asymmetry measure was due to individual differences on a temporally stable latent trait, and 40% of the variance was due to occasion-specific fluctuations, but measurement errors were negligible. Further analyses indicated that these fluctuations might be efficiently reduced by aggregation across several occasions.</description><subject>Activity analysis</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Alpha Rhythm - statistics & numerical data</subject><subject>Analysis of Variance</subject><subject>Asymmetry</subject><subject>Biological and medical sciences</subject><subject>Brain</subject><subject>Brain - physiology</subject><subject>Cerebral Cortex - physiology</subject><subject>Child</subject><subject>Electroencephalography</subject><subject>Electroencephalography - statistics & numerical data</subject><subject>Emotions</subject><subject>Emotions - physiology</subject><subject>Female</subject><subject>Functional Laterality - physiology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human</subject><subject>Humans</subject><subject>Individuality</subject><subject>Male</subject><subject>Models, Neurological</subject><subject>Neurology</subject><subject>Personality</subject><subject>Personality - classification</subject><subject>Personality - physiology</subject><subject>Personality Traits</subject><subject>Personality. Affectivity</subject><subject>Psychology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. 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An Application of Latent State-Trait Theory</title><author>Hagemann, Dirk ; Naumann, Ewald ; Thayer, Julian F ; Bartussek, Dieter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a482t-299e5bb4b04d1496be17f2eee2647259ada7d7689bf2e08c93823f4bfc5d89ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Activity analysis</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Alpha Rhythm - statistics & numerical data</topic><topic>Analysis of Variance</topic><topic>Asymmetry</topic><topic>Biological and medical sciences</topic><topic>Brain</topic><topic>Brain - physiology</topic><topic>Cerebral Cortex - physiology</topic><topic>Child</topic><topic>Electroencephalography</topic><topic>Electroencephalography - statistics & numerical data</topic><topic>Emotions</topic><topic>Emotions - physiology</topic><topic>Female</topic><topic>Functional Laterality - physiology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human</topic><topic>Humans</topic><topic>Individuality</topic><topic>Male</topic><topic>Models, Neurological</topic><topic>Neurology</topic><topic>Personality</topic><topic>Personality - classification</topic><topic>Personality - physiology</topic><topic>Personality Traits</topic><topic>Personality. Affectivity</topic><topic>Psychology</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. 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subjects | Activity analysis Adolescent Adult Alpha Rhythm - statistics & numerical data Analysis of Variance Asymmetry Biological and medical sciences Brain Brain - physiology Cerebral Cortex - physiology Child Electroencephalography Electroencephalography - statistics & numerical data Emotions Emotions - physiology Female Functional Laterality - physiology Fundamental and applied biological sciences. Psychology Human Humans Individuality Male Models, Neurological Neurology Personality Personality - classification Personality - physiology Personality Traits Personality. Affectivity Psychology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychophysiology State Theories Theory |
title | Does Resting Electroencephalograph Asymmetry Reflect a Trait? An Application of Latent State-Trait Theory |
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